Cross-regional collaborative power spot market supply and demand balance adjusting system

Abstract

The invention discloses a cross-regional collaborative power spot market supply and demand balance adjusting system, and relates to the technical field of supply and demand balance management, and the system comprises a multi-stage cross-regional adjustment framework construction module; the future power supply and demand prediction module is used for performing future power supply and demand prediction and generating a supply and demand trend chart; the cross-regional supply and demand balance model construction module is used for constructing a cross-regional supply and demand balance model by integrating a multivariate optimization target and combining a multi-stage cross-regional market participation framework; the multi-stage collaborative optimization module is used for performing multi-stage collaborative optimization by taking the supply and demand trend chart as model input; and a cross-regional power distribution module. The technical problems that in the prior art, traditional power dispatching is mostly concentrated in a single region, cross-region cooperation capability is lacked, and flexible and efficient power balance adjustment is difficult to achieve are solved, and the technical effect of high efficiency and flexibility of cross-region power resource allocation is achieved through multi-stage cooperation optimization and a new energy priority mechanism.

Description

Technical Field

[0001] The present invention relates to the technical field of supply and demand balance management, and in particular to a cross-regional coordinated power spot market supply and demand balance regulation system. Background Art

[0002] In modern power systems, with the rapid development of renewable energy (such as wind power and solar energy) and the dynamic changes in power demand, the supply and demand balance regulation of cross-regional power markets has become increasingly complex. Traditional power dispatching systems are mostly focused on supply and demand management in a single region and lack the ability to coordinate across regions, making it difficult to achieve flexible resource allocation and efficient power balance when power supply fluctuates greatly or demand changes rapidly. Summary of the invention

[0003] The present application provides a cross-regional coordinated electricity spot market supply and demand balancing regulation system, which is used to solve the technical problems in the prior art that traditional power dispatching is mostly concentrated in a single area, lacks cross-regional coordination capabilities, and is difficult to achieve flexible and efficient power balance regulation.

[0004] The present application provides a cross-regional collaborative power spot market supply and demand balance regulation system, the system comprising: a multi-level cross-regional regulation framework construction module, used to construct a multi-level cross-regional market participation framework, the multi-level cross-regional market participation framework includes a main coordination area and a sub-coordination area, and a coordination interface is configured between the main coordination area and the sub-coordination area; a future power supply and demand prediction module, used to collect power supply and demand data and multi-source power-related data of each region in real time through a power grid monitoring system, and use an intelligent prediction model to predict future power supply and demand and generate a supply and demand trend chart; a cross-regional supply and demand balance model construction module, used to integrate multiple optimization objectives, combine the multi-level cross-regional market participation framework, and construct a cross-regional supply and demand balance model, the cross-regional supply and demand balance model includes a multi-level collaborative optimization mechanism and a new energy priority mechanism; a multi-level collaborative optimization module, used to use the supply and demand trend chart as input, use the cross-regional supply and demand balance model to perform multi-level collaborative optimization, and obtain a cross-regional power optimization configuration plan; a cross-regional power distribution module, used to execute the cross-regional power optimization configuration plan to perform cross-regional power distribution, and perform real-time monitoring feedback regulation.

[0005] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0006] The present application provides a cross-regional collaborative power spot market supply and demand balance regulation system, which relates to the field of supply and demand balance management technology. It builds a multi-level cross-regional market framework, collects real-time power data, generates supply and demand trend charts, and builds a supply and demand balance model including collaborative optimization and new energy priority mechanisms based on multiple optimization objectives. The model is used for optimization configuration to obtain a power distribution plan, and through real-time monitoring feedback, efficient and dynamic cross-regional power distribution is achieved. It solves the technical problems in the prior art that traditional power dispatching is mostly concentrated in a single area, lacks cross-regional collaborative capabilities, and is difficult to achieve flexible and efficient power balance regulation. It achieves the technical effect of high efficiency and flexibility in cross-regional power resource allocation through multi-level collaborative optimization and new energy priority mechanisms. BRIEF DESCRIPTION OF THE DRAWINGS

[0007] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0008] Figure 1 A schematic diagram of the structure of a cross-regional coordinated power spot market supply and demand balance regulation system provided in an embodiment of the present application;

[0009] Figure 2 A schematic diagram of the process of constructing a cross-regional supply and demand balance model in a cross-regional supply and demand balance model construction module of a cross-regional collaborative electricity spot market supply and demand balance regulation system provided in an embodiment of the present application.

[0010] Explanation of the reference numerals: multi-level cross-regional regulation framework construction module 10 , future electricity supply and demand prediction module 20 , cross-regional supply and demand balance model construction module 30 , multi-level collaborative optimization module 40 , cross-regional electricity distribution module 50 . DETAILED DESCRIPTION

[0011] The present application provides a cross-regional coordinated electricity spot market supply and demand balancing regulation system, which is used to solve the technical problems in the prior art that traditional power dispatching is mostly concentrated in a single area, lacks cross-regional coordination capabilities, and is difficult to achieve flexible and efficient power balance regulation.

[0012] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0013] It should be noted that the terms "first", "second", etc. in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products, or devices.

[0014] Embodiment 1, as Figure 1 As shown, the present application provides a cross-regional coordinated power spot market supply and demand balance adjustment method, the method comprising:

[0015] The multi-level cross-regional adjustment framework construction module 10 is used to construct a multi-level cross-regional market participation framework, wherein the multi-level cross-regional market participation framework includes a main coordination area and a sub-coordination area, and a coordination interface is configured between the main coordination area and the sub-coordination area.

[0016] It should be understood that the multi-level cross-regional regulation framework construction module 10 of the present application is a core module for constructing a multi-level cross-regional market participation framework, the purpose of which is to achieve efficient scheduling and resource balance in the cross-regional power market. This module ensures the dynamic balance of power supply and demand in each region within the system by dividing the coordination level of different regions. Among them, the multi-level cross-regional market participation framework includes a main coordination area and a sub-coordination area, and multiple coordination interfaces are configured between them.

[0017] The main coordination area is the core dispatching area in the system, responsible for the global configuration of cross-regional power resources and the overall balance of supply and demand. The main coordination area has a global perspective and dispatching priority, and can monitor and adjust the power supply and demand conditions of each sub-area in real time to ensure the stable operation of the entire system. The sub-coordination area mainly undertakes the task of localized power regulation. It performs detailed configuration of local resources according to the global dispatching instructions of the main coordination area to ensure the immediate balance of local power supply and demand. The existence of sub-coordination areas enables the dispatching system to be refined to the demand characteristics in each area, thereby enhancing the flexibility and adaptability of the dispatching system.

[0018] Furthermore, the multi-level cross-regional adjustment framework building module 10 is also used to perform the following steps:

[0019] P11: Carry out regional division and hierarchical coordination based on the characteristics of the target area, and define the main coordination area and sub-coordination area; P12: Configure regional rights and responsibilities for the main coordination area and sub-coordination area respectively, and establish a coordination interface between regions to construct the multi-level cross-regional market participation framework, wherein the coordination interface includes a data communication interface, a command interface and a feedback interface.

[0020] Specifically, the specific process of building a multi-level cross-regional market participation framework can be, first, based on the characteristics of the target area, regional division and hierarchical coordination are carried out to clarify the positioning of the main coordination area and the sub-coordination area. Regional characteristics refer to the different characteristics of each region in terms of power resources, demand load, network structure, etc. For example, large cities or industrial areas with high load demand and complex scheduling are usually designated as main coordination areas in order to play a leading role in power resource scheduling. Areas with relatively low power load and relatively stable resource supply are divided into sub-coordination areas, which are mainly responsible for local supply and demand balance and regulation to adapt to the hierarchical management mode of the overall framework. After dividing the main and sub-areas in this way, the characteristics of each region can be better utilized when realizing cross-regional power regulation, forming a more flexible power dispatching structure.

[0021] Next, the corresponding regional rights and responsibilities are assigned to the main coordination area and the sub-coordination area, and an efficient inter-regional coordination interface is established to further build a multi-level cross-regional market participation framework. The definition of regional rights and responsibilities refers to the division of functions between the main coordination area and the sub-coordination area, clarifying the responsibilities and authority of each area. For example, the main coordination area is responsible for the leading work in global power resource dispatching, supply and demand balance optimization, economic analysis, etc., while the sub-coordination area focuses on executing the dispatching instructions issued by the main area and making detailed adjustments to local demand and new energy consumption.

[0022] On this basis, a coordination interface between regions is constructed to ensure effective communication and regulation between the main coordination region and the sub-coordination region. The coordination interface includes three parts: a data communication interface, a command interface, and a feedback interface. Among them, the data communication interface is used for data transmission between the main coordination region and the sub-coordination region, such as supply and demand data, power load, and new energy power generation data. The technical requirements of the data communication interface include the stability and real-time performance of data transmission, so that the main coordination region can grasp the supply and demand status of each sub-region in real time, thereby optimizing the allocation of global power resources.

[0023] The command interface is used for the main coordination area to issue dispatching commands to the sub-coordination area to achieve remote control of power regulation in each sub-area. The reliability and security of the command interface are crucial to ensure that the dispatching commands are accurately transmitted without delay or interference. For example, the command interface uses an encrypted communication protocol to ensure the integrity and tamper-proof nature of the command information and the consistency of the execution of the dispatching commands.

[0024] The feedback interface is used for the sub-coordination area to report the scheduling execution status and real-time load changes to the main coordination area. The feedback interface supports two-way communication, so that the main coordination area can adjust the scheduling strategy based on the feedback information to achieve dynamic adjustment of the supply and demand balance. The technical features of the feedback interface are real-time feedback and automated processing, ensuring that the status information of the sub-area can be quickly reflected in the optimization model of the main coordination area, so that the main coordination area can adjust the global power configuration plan in a timely manner.

[0025] Through the construction of these coordination interfaces, the multi-level cross-regional market participation framework can achieve efficient linkage between the main coordination area and the sub-coordination area, ensuring that resource allocation and scheduling execution between regions can be carried out flexibly, quickly and accurately, thereby achieving a stable supply and demand balance and optimal resource utilization in the cross-regional power market.

[0026] The future power supply and demand prediction module 20 is used to collect power supply and demand data and multi-source power-related data in various regions in real time through the power grid monitoring system, and use the intelligent prediction model to predict future power supply and demand and generate a supply and demand trend chart.

[0027] Furthermore, the future power supply and demand prediction module 20 is also used to perform the following steps:

[0028] P21: A power grid monitoring system is deployed in each sub-coordination area to collect power supply and demand data and multi-source power-related data of each sub-coordination area in real time, and transmit the data to the main coordination area through the configured coordination interface; P22: An intelligent prediction model is embedded in the main coordination area; P23: After receiving the power supply and demand data and multi-source power-related data and integrating the data, the main coordination area uses the intelligent prediction model to predict future power supply and demand and obtain future supply and demand prediction results; P24: A supply and demand trend chart is generated based on the future supply and demand prediction results, and the supply and demand trend chart can display the supply and demand curves of future time periods.

[0029] Optionally, the future power supply and demand forecasting module 20 of the present application is used to realize the supply and demand forecasting of each region in the cross-regional power market. This module relies on the power grid monitoring system and the intelligent forecasting model to collect and analyze the supply and demand data of each region in real time, predict the power demand and supply situation in the future period, and generate a supply and demand trend chart.

[0030] First, a power grid monitoring system is deployed in each sub-coordination area to collect power supply and demand data and multi-source power-related data in real time. Power supply and demand data include current power demand and supply, while multi-source power-related data can include weather data, historical power consumption data, renewable energy power generation and other information, which can help improve forecasting accuracy. These data are transmitted to the main coordination area through a pre-configured coordination interface so that the main coordination area can unify the supply and demand information of each sub-area. The coordination interface ensures the stability and real-time performance of data transmission, enabling the main coordination area to obtain accurate cross-regional supply and demand data.

[0031] An intelligent prediction model is embedded in the main coordination area. The intelligent prediction model is a machine learning or deep learning model that combines multi-source data. It is used to analyze the current supply and demand status and predict future supply and demand changes. It can integrate multiple data sources (such as meteorology, historical loads, market trends, etc.) for calculation and analysis, so as to more accurately predict future electricity demand and supply.

[0032] When the main coordination area receives the power supply and demand data and multi-source power-related data from each sub-area, the data is first integrated and pre-processed. The integrated data is imported into the intelligent prediction model as input for analysis and calculation, and then the supply and demand forecast results for future time periods are obtained. This forecast result includes information such as demand, supply, and new energy power generation expectations for each future time period, providing a data basis for subsequent power dispatch and optimization.

[0033] Furthermore, a supply and demand trend chart is generated based on the supply and demand forecast results for future periods. The supply and demand trend chart is a visual presentation of future changes in electricity demand and supply, showing the supply and demand curve for future periods. This trend chart can intuitively display the predicted peaks and troughs of electricity demand, the expected changes in power supply resources, and the changes in the proportion of renewable energy power generation, providing important reference and forward-looking support for scheduling decisions in cross-regional power markets.

[0034] The cross-regional supply and demand balance model construction module 30 is used to integrate multiple optimization objectives and combine the multi-level cross-regional market participation framework to construct a cross-regional supply and demand balance model. The cross-regional supply and demand balance model includes a multi-level collaborative optimization mechanism and a new energy priority mechanism.

[0035] Further, such as Figure 2 As shown, the cross-regional supply and demand balance model building module 30 is also used to perform the following steps:

[0036] P31: Determine multiple optimization objectives based on regional power balance requirements; P32: Construct a multi-objective optimization function based on the multiple optimization objectives; P33: Build a multi-level collaborative optimization mechanism and a new energy priority mechanism based on the multi-level cross-regional market participation framework. The multi-level collaborative optimization mechanism includes global optimization of the main coordination area and local optimization of the sub-coordination area.

[0037] P34: Based on the multi-level collaborative optimization mechanism and new energy priority mechanism, a cross-regional supply and demand balance model architecture is generated, and based on the multi-objective optimization function as a decision-making basis, a cross-regional supply and demand balance model is generated.

[0038] Optionally, the cross-regional supply and demand balance model construction module 30 of the present application is responsible for constructing a cross-regional supply and demand balance model to achieve multi-level coordinated scheduling and new energy priority power configuration. This module ensures the dynamic balance of supply and demand and the optimal utilization of resources by integrating multiple optimization objectives and combining a multi-level cross-regional market participation framework.

[0039] First, according to the power balance requirements of different regions, a set of multivariate optimization objectives are determined, which cover the core requirements of power dispatch. Exemplarily, the multivariate optimization objectives may include: ensuring the balance of supply and demand between regions so that the power supply in each region can meet the demand; reducing the economic cost of power dispatch to improve the operating efficiency of the system; maximizing the use of renewable energy, setting new energy priority targets, and increasing the proportion of new energy power generation; and ensuring the security of the system in transmission and load distribution, and maintaining the overall system stability. Determining multivariate optimization objectives provides a specific direction for the subsequent optimization function and model construction.

[0040] After determining the multi-objective optimization objectives, a multi-objective optimization function is constructed based on these objectives. The multi-objective optimization function is a mathematical tool used to strike a balance between multiple objectives. The function assigns different weights to each objective (such as supply and demand balance, cost minimization, new energy priority, etc.), enabling the model to make the best decision among multiple objectives. The optimization function is usually solved using machine learning or mathematical programming methods to ensure that the model can quickly find the optimal solution under a variety of conditions.

[0041] Next, based on the multi-level cross-regional market participation framework, a multi-level collaborative optimization mechanism and a new energy priority mechanism are established. The multi-level collaborative optimization mechanism is a hierarchical optimization structure, including global optimization of the main coordination area and local optimization of the sub-coordination area. In the global optimization, the main coordination area performs overall scheduling of the allocation of power resources based on global data to ensure the overall balance of supply and demand. The sub-coordination area performs local optimization based on the scheduling instructions of the main coordination area, and further refines the power distribution based on the characteristics of the area. Through this hierarchical structure, the system can achieve synchronous scheduling at the global and local levels to ensure the flexibility and accuracy of the system. At the same time, the new energy priority mechanism ensures that new energy resources, such as wind power and photovoltaic power generation, are used first during scheduling to reduce the use of fossil energy. This mechanism not only meets environmental protection needs, but also reduces overall carbon emissions.

[0042] Finally, based on the multi-level collaborative optimization mechanism and the new energy priority mechanism, a cross-regional supply and demand balance model architecture is generated. In this architecture, the main coordination area and the sub-coordination area realize bidirectional transmission of data and instructions through the coordination interface. The multi-objective optimization function is applied in the entire model as a key decision-making basis to guide the execution of the dispatching strategy. In the supply and demand balance model architecture, the main coordination area uses the multi-objective optimization function to generate a global power configuration plan, and the sub-coordination area executes the plan and feeds back the real-time status, forming a closed-loop dynamic balance system to ensure the optimal configuration of cross-regional power resources and achieve the economy, stability and environmental protection of the system.

[0043] Furthermore, in order to construct a multi-objective optimization function, the cross-regional supply and demand balance model construction module 30 is also used to perform the following steps:

[0044] P32-1: When the multivariate optimization objectives are supply and demand balance, dispatch cost and new energy utilization rate, the objective optimization function is as follows:

[0045] min[w1·∑C i +w2·∑|S i -D i |+w3·∑(1-R i )];

[0046] Among them, C i is the dispatch cost of region i, S i is the power supply in area i, D i is the electricity demand of area i, R i is the proportion of new energy supply in region i, w1, w2, w3 are weight coefficients.

[0047] In a possible embodiment of the present application, in order to construct a multi-objective optimization function, the cross-regional supply and demand balance model construction module 30 sets the supply and demand balance, scheduling cost and new energy utilization rate as multi-optimization goals when optimizing the goals, so as to ensure the balance of the system in terms of supply and demand matching, economy and environmental protection. For these optimization goals, the system defines the following optimization functions:

[0048] min[w1·∑C i +w2·∑|S i -D i |+w3·∑(1-R i )];

[0049] Among them, C i is the dispatching cost of region i, i.e., the resource consumption and economic expenditure required to maintain the balance between power supply and demand in the region. Minimizing the dispatching cost helps to reduce the operating cost of the overall power system and improve economic benefits. i is the power supply in area i, D i is the electricity demand of region i. The supply-demand balance requires that the difference between the supply and demand be as small as possible to ensure that the power supply and demand in each region are matched. The supply-demand balance part is achieved through item S i -D i Indicates that the system strives to minimize this value to reduce the volatility risk caused by the mismatch between supply and demand. i is the proportion of renewable energy supply in region i, that is, the proportion of renewable energy in the power supply of the region. In order to improve the utilization rate of renewable energy, the optimization function is set to i ) item, try to minimize this value to give priority to the consumption of new energy, thereby reducing carbon emissions. w1, w2, and w3 are weight coefficients, corresponding to the optimization weights of scheduling cost, supply and demand balance deviation, and new energy utilization rate, respectively. These weights are used to balance the importance of different optimization goals and can be adjusted according to actual needs, making the system more flexible in optimizing a specific goal.

[0050] In the optimization process, the multi-objective optimization function is calculated by mathematical optimization algorithms to comprehensively weigh various objectives. When the system is running, module 30 inputs actual supply and demand data and the proportion of new energy into the model, dynamically adjusts the power supply configuration of each region, and realizes cross-regional collaborative optimization and supply and demand balance.

[0051] The multi-level collaborative optimization module 40 is used to take the supply and demand trend diagram as input, use the cross-regional supply and demand balance model to perform multi-level collaborative optimization, and obtain a cross-regional power optimization configuration plan.

[0052] Furthermore, the multi-level collaborative optimization module 40 is also used to perform the following steps:

[0053] P41: Based on the multi-optimization objectives, the cross-regional supply and demand balance model is initialized; P42: The supply and demand trend diagram is input into the initialized cross-regional supply and demand balance model, the multi-level collaborative optimization mechanism and the new energy priority mechanism are started, the global optimization of the main coordination area and the local optimization of the sub-coordination area are performed, and a cross-regional power optimization configuration plan is generated.

[0054] It should be understood that the main function of the multi-level collaborative optimization module 40 of the present application is to perform multi-level collaborative optimization using a cross-regional supply and demand balance model through the input of a supply and demand trend diagram, thereby obtaining a cross-regional power optimization configuration plan.

[0055] Specifically, the cross-regional supply and demand balance model is initialized based on multiple optimization objectives. The multiple optimization objectives may include supply and demand balance, minimization of scheduling costs, and maximization of new energy utilization. The initialization settings include setting the power supply demand, available power resources, new energy ratio, and weight coefficients of each region. These parameters are used to adjust the importance of different optimization objectives. Through this initialization setting, the model can ensure that the optimal resource allocation solution is found under multi-objective conditions to maximize economic benefits, resource utilization, and system balance.

[0056] After the model is initialized, the supply and demand trend graph is imported as input into the cross-regional supply and demand balance model, and the multi-level collaborative optimization mechanism and the new energy priority mechanism are activated. The supply and demand trend graph contains the power demand, supply situation and new energy power generation expectations for the future period, providing key input data for the model. The activation of the multi-level collaborative optimization mechanism means that the system will perform optimization operations at different levels, including global optimization of the main coordination area and local optimization of the sub-coordination area.

[0057] First, the main coordination area uses the data of the supply and demand trend chart and the initialization parameters to optimize the allocation of power resources at the global level. Global optimization aims to balance the supply and demand relationship of the entire cross-regional system, ensure that the power supply needs of each region can be met, and give priority to renewable energy. The main coordination area forms a preliminary power dispatch plan by analyzing the load demand and proportion of new energy in each region. This process relies on a multi-objective optimization function to meet the comprehensive needs of different regions in terms of supply and demand balance, economy, and new energy priority.

[0058] Furthermore, after the main coordination area generates a global plan, each sub-coordination area performs local optimization according to the specific local needs. Local optimization means that each sub-area further refines the power distribution based on the main area scheduling plan to adapt to the actual supply and demand conditions in the area. When performing local optimization, the sub-coordination area will also give priority to the use of new energy to ensure that while meeting supply and demand, the proportion of local new energy consumption is increased as much as possible. The flexibility of local optimization enables the system to adapt to the dynamic demand changes in each region and improve the accuracy and response speed of scheduling.

[0059] Through the global optimization of the main coordination area and the local optimization of the sub-coordination area, a cross-regional power optimization configuration scheme is generated. This scheme is an optimized configuration that balances the power demand, dispatching cost and new energy utilization of each region, ensuring the optimal configuration of resources and maximization of dispatching efficiency in the cross-regional power system. Throughout the process, the multi-level collaborative optimization module 40 relies on the supply and demand trend chart and optimization mechanism, and through hierarchical optimization steps and new energy priority strategies, a dynamic and efficient cross-regional power dispatching scheme is formed, which provides strong support for the stable operation and economic benefits of the system.

[0060] Furthermore, in order to perform global optimization of the main coordination area and local optimization of the sub-coordination area, the multi-level collaborative optimization module 40 is further used to perform the following steps:

[0061] P42-1: Through the main coordination area, according to the supply and demand trend diagram and the multi-objective optimization function, global scheduling of cross-regional supply and demand balance is carried out, and the preliminary cross-regional power configuration plan is determined and transmitted to each sub-coordination area; P42-2: After each sub-coordination area receives the preliminary power configuration plan, it performs detailed scheduling according to the internal demand characteristics of the region and the new energy power generation data, and generates multiple localized power distribution plans; P42-3: The multiple localized power distribution plans are transmitted back to the main coordination area for plan integration verification to obtain the cross-regional power optimization configuration plan.

[0062] Specifically, in order to achieve global optimization of the main coordination area and local optimization of the sub-coordination area, the following detailed steps are performed in sequence to generate the final cross-regional power optimization configuration plan.

[0063] First, in order to achieve global scheduling of cross-regional supply and demand balance, the main coordination area formulates a preliminary power configuration plan and transmits it to each sub-coordination area through the supply and demand trend chart and multi-objective optimization function, combined with the global optimization algorithm. Specifically, the main coordination area first obtains the real-time data of each sub-coordination area, including supply and demand trend chart, power demand forecast, new energy power generation and current load status. The supply and demand trend chart is generated based on the future power supply and demand forecast module, reflecting the future supply and demand change trend of each region. The multi-objective optimization function is set as the decision-making basis, and its goals include supply and demand balance, minimization of scheduling costs and priority consumption of new energy, to ensure the economy, balance and environmental protection of power resources.

[0064] Exemplarily, the main coordination area starts a global optimization algorithm (such as a genetic algorithm, a particle swarm optimization algorithm, or an ant colony optimization algorithm) to solve the multi-objective optimization problem. The optimal power configuration scheme is searched in the entire cross-regional system so that the power demand and supply in different regions can be balanced. During the operation of the algorithm, the power resources are optimally allocated among the regions according to the supply and demand characteristics of each region and the proportion of new energy generation to ensure that new energy is consumed first and reduce dependence on traditional energy. After multiple iterations, a preliminary power configuration scheme that meets the optimization objectives is found based on the multi-objective optimization function. The scheme includes the power supply of each sub-coordination area, the proportion of power allocated from the main coordination area, and the specific allocation of priority consumption of new energy.

[0065] Furthermore, the main coordination area transmits the preliminary power configuration plan to each sub-coordination area through the coordination interface. After each sub-coordination area receives the preliminary power configuration plan of the main coordination area, it further refines the scheduling according to its own regional internal demand characteristics and new energy power generation data, and generates multiple localized power distribution plans. Among them, the regional internal demand characteristics include the load fluctuations, peak power consumption periods and distribution of new energy resources in the sub-area. The new energy power generation data is used to ensure that new energy is consumed first in the localized plan, thereby reducing dependence on traditional energy. Through refined scheduling, each sub-area generates multiple power distribution plans that meet actual needs, ensuring the accurate allocation of power resources in the region, and responding to dynamic changes in supply and demand. These localized power distribution plans not only enhance the flexibility of the system, but also ensure the accuracy of scheduling, especially in areas with large load fluctuations or frequent fluctuations in new energy, localized scheduling can better adapt to actual conditions.

[0066] Finally, each sub-coordination area will send the generated localized power distribution plan back to the main coordination area for integration verification of the plan. The main coordination area will integrate the returned power distribution plan to check whether the power distribution of each area meets the global demand, whether the dispatching cost is within the control range, and whether the goal of new energy priority consumption is achieved. The integration and verification process relies on the global perspective of the main area to ensure that the power distribution plans between sub-areas are globally consistent and efficient. At the same time, if it is found during the verification process that the needs of some areas are not fully met, the main coordination area can re-dispatch and adjust, ultimately ensuring the reliability and optimality of the global plan. After integration and verification, the system finally forms a cross-regional power optimization configuration plan that takes into account the comprehensive needs of supply and demand balance, dispatching costs and new energy consumption.

[0067] Through the above steps, the global optimization of the main coordination area and the local optimization of the sub-coordination area achieve hierarchical collaboration. By utilizing the supply and demand trend graph, multi-objective optimization function and the transmission function of the coordination interface, a dynamic and efficient cross-regional power optimization configuration plan is generated, providing technical support for the smooth operation of the entire power system and the rational use of resources.

[0068] The cross-regional power distribution module 50 is used to execute the cross-regional power optimization configuration plan to perform cross-regional power distribution and perform real-time monitoring, feedback and regulation.

[0069] Furthermore, the cross-regional power distribution module 50 is further configured to perform the following steps:

[0070] P51: Each sub-coordination area executes cross-regional power distribution according to the cross-regional power optimization configuration plan issued by the main coordination area; P52: During the execution process, the execution feedback data of each area is monitored in real time through the power grid monitoring system, including power supply and demand, load status and new energy power generation; P53: When the execution feedback data reaches the preset threshold, it is immediately fed back to the main coordination area, and the main coordination area dynamically adjusts the plan according to the execution feedback data.

[0071] It should be understood that the cross-regional power distribution module 50 of the present application is responsible for executing the cross-regional power optimization configuration plan to ensure the balance of power supply and demand in each region. At the same time, through real-time monitoring and feedback adjustment mechanism, it dynamically responds to demand changes and new energy fluctuations in each region to ensure efficient operation of the system.

[0072] Specifically, each sub-coordination area first receives and executes the cross-regional power optimization allocation plan issued by the main coordination area, and performs the actual cross-regional power allocation according to the power allocation ratio and dispatch path specified in the plan. The execution process of power distribution strictly follows the optimization allocation plan to ensure that the optimization goals of supply and demand balance, cost minimization, and priority consumption of new energy are implemented in actual operations. Each sub-region is responsible for local power allocation during the allocation process, such as giving priority to the use of local wind power, photovoltaic and other new energy power generation, and dispatching and supplementing the remaining demand from other regions to achieve efficient cross-regional power distribution.

[0073] During the power distribution process, the system monitors the execution feedback data of each area in real time through the power grid monitoring system, including real-time power supply and demand, load status and renewable energy power generation. Through sensors and data acquisition equipment, the system continuously captures the load fluctuations, demand changes and renewable energy power generation dynamics of each sub-area. For example, when the renewable energy power generation of a sub-area increases, the monitoring system will immediately feedback this information, which will help optimize the distribution and use of energy. The real-time and accuracy of the execution feedback data ensures that the system can respond quickly and make corresponding adjustments under different load conditions.

[0074] When the execution feedback data triggers the preset threshold conditions, the system will immediately feedback the abnormal situation to the main coordination area. The preset threshold is a threshold range set for key indicators such as supply and demand deviation, load overload or new energy fluctuations. Once an indicator exceeds the preset range, it will be regarded as abnormal. For example, when the load status of a certain area exceeds the allowable range, or the new energy power generation is lower than the expected value, the system will immediately trigger the feedback mechanism and send the information to the main coordination area. The main coordination area dynamically adjusts the configuration plan based on these feedback data, such as reallocating electricity, modifying the load distribution path, or adjusting the proportion of new energy priority consumption. The dynamic adjustment mechanism of this plan enables the system to maintain balance in an unstable supply and demand environment, thereby ensuring the safe and efficient operation of the power system.

[0075] By utilizing real-time monitoring and feedback adjustment mechanisms, we can flexibly respond to fluctuations and demand changes in actual operations, achieve accurate scheduling of power distribution, and provide reliable guarantees for the stability and economy of the cross-regional power market.

[0076] In summary, the embodiments of the present application have at least the following technical effects:

[0077] This application constructs a multi-level cross-regional market participation framework, including a main coordination area and sub-coordination areas, collects electricity supply and demand data in real time, generates supply and demand trend charts using intelligent prediction models, and constructs a supply and demand balance model that includes multi-level collaborative optimization and new energy priority mechanisms based on multiple optimization objectives and a cross-regional framework. The supply and demand trend chart is input into the model for collaborative optimization to obtain a cross-regional electricity optimization configuration plan. After the plan is executed, dynamic feedback and adjustment are performed through a real-time monitoring system to achieve efficient cross-regional electricity distribution.

[0078] The technical effect of achieving high efficiency and flexibility in cross-regional power resource allocation has been achieved through multi-level collaborative optimization and new energy priority mechanism.

[0079] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0080] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.

[0081] This specification and the drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. A cross-regional coordinated power spot market supply and demand balance regulation system, characterized in that: The system comprises: A multi-level cross-regional adjustment framework construction module, used to construct a multi-level cross-regional market participation framework, wherein the multi-level cross-regional market participation framework includes a main coordination area and a sub-coordination area, and a coordination interface is configured between the main coordination area and the sub-coordination area; The future power supply and demand forecasting module is used to collect power supply and demand data of various regions and multi-source power-related data in real time through the power grid monitoring system, and use the intelligent forecasting model to forecast future power supply and demand and generate a supply and demand trend chart; A cross-regional supply and demand balance model construction module is used to integrate multiple optimization objectives and combine the multi-level cross-regional market participation framework to construct a cross-regional supply and demand balance model, wherein the cross-regional supply and demand balance model includes a multi-level collaborative optimization mechanism and a new energy priority mechanism; A multi-level collaborative optimization module, used to take the supply and demand trend graph as input, perform multi-level collaborative optimization using the cross-regional supply and demand balance model, and obtain a cross-regional power optimization configuration plan; The cross-regional power distribution module is used to execute the cross-regional power optimization configuration plan to perform cross-regional power distribution and perform real-time monitoring, feedback and regulation.

2. A cross-regional coordinated power spot market supply and demand balance regulation system as claimed in claim 1, characterized in that: The multi-level cross-regional regulation framework building module is also used to: Based on the characteristics of the target area, the region is divided and the hierarchical coordination is carried out, and the main coordination area and sub-coordination area are defined; Regional responsibilities are configured for the main coordination area and the sub-coordination area respectively, and a coordination interface between regions is established to construct the multi-level cross-regional market participation framework, wherein the coordination interface includes a data communication interface, a command interface and a feedback interface.

3. A cross-regional coordinated power spot market supply and demand balance regulation system as claimed in claim 1, characterized in that: The future power supply and demand prediction module is also used for: A power grid monitoring system is deployed in each sub-coordination area to collect power supply and demand data and multi-source power-related data of each sub-coordination area in real time, and transmit the data to the main coordination area through the configured coordination interface; An intelligent prediction model is embedded in the main coordination area; After receiving the power supply and demand data and multi-source power-related data and performing data integration, the main coordination area performs future power supply and demand forecasting through the intelligent forecasting model to obtain future supply and demand forecasting results; A supply and demand trend graph is generated according to the future supply and demand forecast results, and the supply and demand trend graph can display the supply and demand curve of the future period.

4. A cross-regional coordinated power spot market supply and demand balance regulation system as claimed in claim 3, characterized in that: The cross-regional supply and demand balance model building module is also used for: Determine multiple optimization objectives based on regional power balance requirements; Based on the multivariate optimization objectives, construct a multi-objective optimization function; Based on the multi-level cross-regional market participation framework, a multi-level collaborative optimization mechanism and a new energy priority mechanism are established. The multi-level collaborative optimization mechanism includes global optimization of the main coordination area and local optimization of the sub-coordination area. According to the multi-level collaborative optimization mechanism and the new energy priority mechanism, a cross-regional supply and demand balance model framework is generated, and the cross-regional supply and demand balance model is generated based on the multi-objective optimization function as a decision-making basis.

5. A cross-regional coordinated power spot market supply and demand balance regulation system as claimed in claim 4, characterized in that: The cross-regional supply and demand balance model building module is also used for: When the multivariate optimization objective is supply and demand balance, dispatch cost and new energy utilization rate, the objective optimization function is as follows: min[w1·∑C i +w2·∑|S i -D i |+w3·∑(1-R i )]; Among them, C i is the dispatch cost of region i, S i is the power supply in area i, D i is the electricity demand of area i, R i is the proportion of new energy supply in region i, w1, w2, w3 are weight coefficients.

6. A cross-regional coordinated power spot market supply and demand balance regulation system as claimed in claim 1, characterized in that: The multi-level collaborative optimization module is also used for: Based on the multivariate optimization objective, the cross-regional supply and demand balance model is initialized and set; The supply and demand trend graph is input into the initialized cross-regional supply and demand balance model, the multi-level collaborative optimization mechanism and the new energy priority mechanism are started, global optimization of the main coordination area and local optimization of the sub-coordination area are performed, and a cross-regional power optimization configuration plan is generated.

7. A cross-regional coordinated power spot market supply and demand balance regulation system as claimed in claim 4, characterized in that: The multi-level collaborative optimization module is also used for: Through the main coordination area, according to the supply and demand trend diagram and the multi-objective optimization function, global scheduling of cross-regional supply and demand balance is performed, a preliminary cross-regional power configuration plan is determined, and transmitted to each sub-coordination area; After receiving the preliminary power allocation plan, each sub-coordination area will conduct detailed scheduling based on the internal demand characteristics of the region and the renewable energy power generation data, and generate multiple localized power distribution plans; The multiple localized power distribution plans are transmitted back to the main coordination area to perform plan integration verification to obtain the cross-regional power optimization configuration plan.

8. The cross-regional coordinated power spot market supply and demand balance regulation system according to claim 1, characterized in that: The cross-regional power distribution module is also used for: Each sub-coordination area executes cross-regional power allocation according to the cross-regional power optimization configuration plan issued by the main coordination area; During the execution process, the execution feedback data of each area is monitored in real time through the power grid monitoring system, including power supply and demand, load status and renewable energy power generation; When the execution feedback data reaches a preset threshold, it is immediately fed back to the main coordination area, and the main coordination area dynamically adjusts the solution according to the execution feedback data.

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